Genetic algorithm for facilities layout problems based on slicing tree structure

Shayan, E.; Chittilappilly, Arun

doi:10.1080/00207540410001716471

Cited by 67 publications

(30 citation statements)

References 19 publications

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“…The term "evolutionary computation" is used to describe computer-based problem solving that uses computational models of evolutionary processes as key elements during its design and implementation [1]. First GAs applications started about 35 years ago, after a presentation of the idea of evolutionary computation by Rechenberg in his work "Evolutionary strategies" [13].…”

Section: Genetic Algorithms and The Facility Layout Problem -Literatumentioning

confidence: 99%

“…GAs use a highly problem-dependent data structure known as an "organism" to represent candidate solutions. Through parallel processing on a population of randomly generated chromosomes, it speeds up the whole search procedure [1]. GAs were applied to parameter optimization by de Jong [17].…”

Section: Genetic Algorithms and The Facility Layout Problem -Literatumentioning

confidence: 99%

“…The FLP is an optimization problem that tries to make layouts more efficient by taking into account various interactions between facilities and material-handling systems whilst designing layouts [1,2]. Sule and Islier indicated that approximately 30-75 % of a product's cost could be attributed to material handling and transportation [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…The FLP is primarily concerned with finding an optimum arrangement of a set of facilities in any layout subject to certain qualitative or quantitative constraints. The FLPs, like most facility design and planning problems, are computationally non-polynomially difficult [1]. Various computer techniques have been developed to support FLP optimization.…”

Section: Introductionmentioning

confidence: 99%

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Designing a Layout Using the Modified Triangle Method, and Genetic Algorithms

Ficko¹,

Palčić²

2013

Int. j. simul. model.

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This paper describes the use of genetic algorithms (GA) for solving the facility layout problem (FLP) within manufacturing systems' design. The paper considers a specific heuristic layout planning method, known as the modified triangle method. This method seeks for an optimal layout solution based on the degrees of flows between workstations. The search for an optimal solution is extremely time-consuming and not suitable for larger systems; therefore we have developed a system based on evolutionary computation. Our paper presents a system, based on GA, and the results obtained regarding several numerical cases from the literature. We propose the usage of this system by presenting numerous advantages over other methods of solving FLP for problem representation and evolutionary computation for solution search.

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Section: Genetic Algorithms and The Facility Layout Problem -Literatumentioning

confidence: 99%

Section: Genetic Algorithms and The Facility Layout Problem -Literatumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Designing a Layout Using the Modified Triangle Method, and Genetic Algorithms

Ficko¹,

Palčić²

2013

Int. j. simul. model.

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“…Facilities planning is a subject that deals with optimization problems with the objective of improving layout efficiency, FACILITIES PLANNING FOR A CREATIVE COMPANY 439 taking into account all the physical aspects of a facility and the interaction between the facility and the parts that constitute the work processes, like material handling, machinery, and people (Shayan & Chittilappilly, 2004;Heragu, 2006;De Carlo, Arleo, Borgia, & Tucci, 2013). Tompkins et al (2010) proposed a holistic approach, pointing out that five characteristics facilities must be contained: flexibility, modularity, upgradability, adaptability, and selective operability.…”

mentioning

confidence: 99%

Facilities Planning for a Creative Company

Barradas¹,

Alves²,

Cardoso³

2015

CBR

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Facilities planning tools have been used by project managers for planning industry spaces for decades now, but applications in creative organizations are still sparse. This happens mainly because of a gap that exists between engineering and psychology fields, with the first developing planning tools for production but with little concern for creativity and the other developing spaces for creativity, but with a lack of tools. Both try to solve the same issue: fostering productivity in the workplace, but they need to be linked first, in order to accomplish it. How to close this gap? Can a project manager plan the facilities for a creative organizational in the best way possible? In this paper, a new approach is used for studying the design of physical environments that foster organizational creativity, combining the results of psychological studies on the impact of physical environment on creativity with the facilities planning body of knowledge applied by industrial engineers. In order to test the results, a single case study is developed in a small IT consulting firm. By using the systematic layout planning (SLP) step by step process, it is shown that by acting on the work environment of the company, the developers creative processes can be boosted and facilitated. It is also shown that both industrial engineering and creativity research have much to contribute to each other and future research topics in the field are presented.

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An Integrated Tool for the Optimization and Simulation of Hybrid Product-Process Layouts

D’Antonio

Chiabert

2018

Product Lifecycle Management to Support Industry 4.0

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The design of a manufacturing process is a crucial phase for ensuring a profitable production. In particular, an appropriate layout for the facilities must be identified to minimize the impact of transporting manufacturing units throughout the shop-floor on both process performance and production cost. In a former work, a mathematical model capable to define process, product and hybrid layouts has been defined by minimizing the average distance travelled by each manufacturing unit. The present paper aims to present an integrated tool able to: (i) deploy the optimization model to autonomously evaluate the optimal layout proposal that fits with a set of input provided by the designer; (ii) evaluate a set of KPIs to assess the layout; (iii) compile a discrete event simulation model on FlexSim to enable the designer to evaluate layout performance in a multiplicity of operating scenarios.

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Genetic algorithm for facilities layout problems based on slicing tree structure

Cited by 67 publications

References 19 publications

Designing a Layout Using the Modified Triangle Method, and Genetic Algorithms

Designing a Layout Using the Modified Triangle Method, and Genetic Algorithms

Facilities Planning for a Creative Company

An Integrated Tool for the Optimization and Simulation of Hybrid Product-Process Layouts

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